Figure REF  describes the network architecture of the proposed HOSP-GNN in details. The feature extracting network is the same architecture in the recent works[1]} [2]} [3]} [4]}, and specifically includes four convolutional blocks with \(3\times 3\)  kernel, one linear unit, one bach normalization and one leakReLU unit for few-shot models. Other parts of network is detailed in figure REF . To conveniently compare with other methods(baseline methods and state-of-the-art methods), we set the layer number \(L\)  to 3 in the proposed HOSP-GNN.
